---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fresh-2-layer-swag73545-distill-of-fresh-2-layer-gpqa_EVAL_gpqa
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# fresh-2-layer-swag73545-distill-of-fresh-2-layer-gpqa_EVAL_gpqa

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 13.2860
- Accuracy: 0.5

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 321
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.04  | 100  | 15.3746         | 0.3030   |
| No log        | 0.09  | 200  | 15.8323         | 0.3788   |
| No log        | 0.13  | 300  | 18.5973         | 0.3586   |
| No log        | 0.17  | 400  | 18.2249         | 0.3788   |
| 2.3639        | 0.22  | 500  | 17.3930         | 0.4141   |
| 2.3639        | 0.26  | 600  | 12.7479         | 0.4242   |
| 2.3639        | 0.3   | 700  | 13.6916         | 0.4646   |
| 2.3639        | 0.35  | 800  | 13.2860         | 0.5      |
| 2.3639        | 0.39  | 900  | 13.5986         | 0.4596   |
| 0.6733        | 0.43  | 1000 | 12.9991         | 0.4646   |
| 0.6733        | 0.48  | 1100 | 12.2002         | 0.4697   |
| 0.6733        | 0.52  | 1200 | 11.8489         | 0.4848   |
| 0.6733        | 0.57  | 1300 | 12.4483         | 0.4949   |


### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0